Imperial College London


Faculty of Natural SciencesDepartment of Mathematics

Research Fellow



p.seshadri Website




Huxley BuildingSouth Kensington Campus





I am a Research Fellow in the Statistics Section, working under Dr Andrew Duncan. My research interests lie in Bayesian inference and machine learning applied to aeronautics - in particular the design of blades and their aerothermal environments. I am also interested in electroaerodynamics.

For more info regarding my research, please check out my page:



Wong CY, Seshadri P, Parks G, 2021, Extremum sensitivity analysis with polynomial Monte Carlo filtering, Reliability Engineering & System Safety, Vol:212, ISSN:0951-8320

Scillitoe A, Seshadri P, Girolami M, 2021, Uncertainty quantification for data-driven turbulence modelling with Mondrian forests, Journal of Computational Physics, Vol:430, ISSN:0021-9991

Wong CY, Seshadri P, Parks GT, et al., 2020, Embedded ridge approximations, Computer Methods in Applied Mechanics and Engineering, Vol:372, ISSN:0045-7825

Seshadri P, Yuchi S, Parks GT, et al., 2020, Supporting multi-point fan design with dimension reduction, Aeronautical Journal, Vol:124, ISSN:0001-9240, Pages:1371-1398

Seshadri P, Duncan A, Simpson D, et al., 2020, Spatial flow-field approximation using few thermodynamic measurements Part II: Uncertainty assessments, Journal of Turbomachinery

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